Nanoengineers have developed new deep learning models that can accurately predict the properties of molecules and crystals. The models can enable researchers to rapidly scan the nearly-infinite universe of compounds to discover potentially transformative materials for various applications, such as high-energy density Li-ion batteries, warm-white LEDs, and better photovoltaics.
Click here for original story, Engineers use graph networks to accurately predict properties of molecules and crystals
Source: ScienceDaily